Book contents
- Frontmatter
- Contents
- Foreword
- Preface
- Part I Density-Ratio Approach to Machine Learning
- Part II Methods of Density-Ratio Estimation
- Part III Applications of Density Ratios in Machine Learning
- 9 Importance Sampling
- 10 Distribution Comparison
- 11 Mutual Information Estimation
- 12 Conditional Probability Estimation
- Part IV Theoretical Analysis of Density-Ratio Estimation
- Part V Conclusions
- List of Symbols and Abbreviations
- Bibliography
- Index
9 - Importance Sampling
from Part III - Applications of Density Ratios in Machine Learning
Published online by Cambridge University Press: 05 March 2012
- Frontmatter
- Contents
- Foreword
- Preface
- Part I Density-Ratio Approach to Machine Learning
- Part II Methods of Density-Ratio Estimation
- Part III Applications of Density Ratios in Machine Learning
- 9 Importance Sampling
- 10 Distribution Comparison
- 11 Mutual Information Estimation
- 12 Conditional Probability Estimation
- Part IV Theoretical Analysis of Density-Ratio Estimation
- Part V Conclusions
- List of Symbols and Abbreviations
- Bibliography
- Index
Summary
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- Type
- Chapter
- Information
- Density Ratio Estimation in Machine Learning , pp. 119 - 139Publisher: Cambridge University PressPrint publication year: 2012